A few different deep learning approaches have been recently proposed to tackle the CS reconstruction problem. Jin et al. [1]} proposed to use a U-net [2]}. Lee et al. experimentally showed that residual U-nets can potentially improve image reconstruction. Residual blocks have subsequently been incorporated in the majority of the latest studies (cf., [3]}, [4]}, [5]}).
